But what is a neural network? | Deep learning chapter 1

What are the neurons, why are there layers, and what is the math underlying it? Additional funding for this project was provided by Amplify Partners There are two neat things about this book. First, it's available for free, so consider joining me in making a donation to Nielsen if you get something...

Beginner - 19 min - AI & Data - 3Blue1Brown

The full course: Learn Deep Learning free

What you'll need

• GPU-ready laptop: Train small models locally.
• Laptop stand: Screen at eye level for long study sessions.
• Noise-cancelling headphones: Focus through long video lessons.

Books

1. Deep Learning with Python by Francois Chollet - View on Amazon
2. Deep Learning by Ian Goodfellow - View on Amazon

Next lessons

• Let's build GPT: from scratch, in code, spelled out. (116 min, Andrej Karpathy, Beginner)
• Transformers, the tech behind LLMs | Deep Learning Chapter 5 (27 min, 3Blue1Brown, Intermediate)
• Gradient descent, how neural networks learn | Deep Learning Chapter 2 (21 min, 3Blue1Brown, Intermediate)
• Let's reproduce GPT-2 (124M) (241 min, Andrej Karpathy, Intermediate)
• The spelled-out intro to neural networks and backpropagation: building micrograd (146 min, Andrej Karpathy, Beginner)
• Attention in transformers, step-by-step | Deep Learning Chapter 6 (26 min, 3Blue1Brown, Beginner)
• How might LLMs store facts | Deep Learning Chapter 7 (23 min, 3Blue1Brown, Intermediate)
• Let's build the GPT Tokenizer (134 min, Andrej Karpathy, Intermediate)